Development and psychometric properties of the Anticipatory Anxiety Inventory

Q4 Psychology
Simge Vural, N. Ferreira
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引用次数: 0

Abstract

Background: Anticipatory Anxiety (AA) is defined as a course of thoughts, feelings, and actions occurring just and only "before" an anxiety-provoking event. In order to explore this construct, the Anticipation Anxiety Inventory (AAI) was developed and its psychometric properties have been investigated in two studies. Methods: Study 1 used an Exploratory Factor Analysis approach to determine the factor structure of the items of the scale. In study 2, a Confirmatory Factor Analysis was performed to assess the scale structure, the validity of the factor solution, and convergent and discriminatory validity. Results: Exploratory factor analysis from study 1 suggested 13 items across four factors for the AAI: Emotional Hypersensitivity, Physical responses to AA, Dysfunctional Cognitions, and Daily Functioning. In study 2, the Confirmatory Factor Analysis indicated that the 4-factor solution of the AAI had an acceptable fit, excellent internal consistency (α= 0.92), and displayed good convergent and discriminatory validity. Conclusion: The AAI could be proposed as a useful valid and reliable tool to investigate AA. For future implications, more research is needed regarding the utility of this measure in experimental designs or clinical settings.
预期焦虑量表的编制及其心理测量学特征
背景:预期性焦虑(AA)被定义为仅仅在引发焦虑的事件发生之前发生的一系列思想、感觉和行为。为了探索这一结构,我们开发了预期焦虑量表(AAI),并在两项研究中对其心理测量特性进行了研究。方法:研究1采用探索性因子分析法确定量表各条目的因子结构。研究2采用验证性因子分析来评估量表结构、因子解的效度、收敛效度和区别效度。结果:研究1的探索性因素分析表明,AAI的四个因素中有13个项目:情绪超敏反应、对AA的身体反应、功能失调认知和日常功能。在研究2中,验证性因子分析表明,AAI的4因子溶液具有可接受的拟合性,具有良好的内部一致性(α= 0.92),具有良好的收敛效度和区分效度。结论:AAI是一种有效、可靠的AA检测工具。对于未来的影响,需要更多的研究关于这一措施的效用在实验设计或临床设置。
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来源期刊
Cognition, Brain, Behavior. An Interdisciplinary Journal
Cognition, Brain, Behavior. An Interdisciplinary Journal Psychology-Experimental and Cognitive Psychology
CiteScore
0.90
自引率
0.00%
发文量
14
期刊介绍: Cognition, Brain, Behavior. An Interdisciplinary Journal publishes contributions from all areas of cognitive science, focusing on disciplinary and interdisciplinary approaches to information processing and behavior analysis. We encourage contributions from the following domains: psychology, neuroscience, artificial intelligence, linguistics, ethology, anthropology and philosophy of mind. The journal covers empirical studies and theoretical reviews that expand our understanding of cognitive, neural, and behavioral mechanisms. Both fundamental and applied studies are welcomed. On occasions, special issues will be covering particular themes, under the editorship of invited experts.
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